The Role: As a ML Engineer in the S&P Global Data Science team, you will work on multiple data science projects in collaboration with internal and external project owners on the product, commercial, and data team. You will be responsible for providing machine learning engineers support, create data pipeline for modeling, scale models, develop APIs to help move machine learning models in production. You will collaborate with the data scientists and production-oriented software engineers
The Team: You will be part of a rapidly growing organization, joining the team of highly motivated and professional Data Scientists and Machine Learning Engineers within S & P Global Market Intelligence division. Market Intelligence provides financial and industry data, research, news and analytics to investment professionals, government agencies, corporations, and universities worldwide. We integrate news, comprehensive market and sector-specific data and analytics into a variety of tools to help clients track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuations, and assess credit risk.
We are looking for candidates from a diverse pool of graduate & postgraduate institutions that are passionate to build, scale and deploy Machine Learning Models that provide timely and essential intelligence to our disparate array of customers across the globe.
What's in it for you:
We provide a highly inclusive work environment where in you can bring your whole self to work to assist S&P Global in achieving its mission of being one of the leading providers of the highest quality risk evaluations and analytical information to the world's financial markets. As an integral part of our team, you will be working on cutting edge state-of-the-art technology stack. In this role, you will work on multiple data science projects in collaboration with internal and external project owners on the product, commercial, and data team. You will be responsible for providing machine learning engineers support, create data pipeline for modeling, scale models, develop APIs to help move machine learning models in productions. You will collaborate with the data scientists and production-oriented software engineers
Construct machine learning lifecycle management including data collection, normalization, and standardization within a data pipeline construction
Develop AutoML infrastructure for model selection and hyperparameter tuning
Create applications and interface to present the output of ML models
Experiment, develop and productionize high quality machine learning services and platforms to make huge technology and business impact.
Develop hosting platform for machine learning models.
Create pipelines to query and retrieve and update data for existing applications to keep them updated
Supervise the scaling and management of the machine learning modeling ecosystem
Work alongside data scientists and product owners to improve aspects of their lines of business through machine learning
What We're Looking For:
Possess excellent verbal & written communication skills
Expertise in application, data, and infrastructure architecture disciplines
Advanced knowledge of architecture and design across all systems
Proficiency in multiple machine learning programming languages including Python, PySpark, or Scala
3 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc
Able to understand various data structures and common methods in data transformation
Knowledge of industry-wide technology trends and best practices
Ability to work in large, collaborative teams to achieve organizational goals
Passionate about building an innovative culture
Familiarity with MLOps and ModelOps
Docker, Kubernetes, AWS, Python
Familiarity with or clear interest in learning about financial Markets.
Basic Qualifications :
BS/BA degree in computer science or engineering
Compensation and Benefits Information:
S&P Global states that the anticipated base salary range for this position is $85,700 - $195,800. Base salary ranges may vary by geographic location.
In addition to base compensation, this role is eligible for an annual incentive bonus.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit
S&P Global Market Intelligence partners with customers to broaden their perspective and operate with confidence by bringing them leading data sources and technologies that embed insight in their daily work.
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.